Ask any CEO if they want to better leverage their data assets to drive growth, revenues, and productivity, their answer will most likely be “yes, of course.” Ask many of them what that means or how they will do it and their answers will be as disparate as most enterprise’s data strategies. To successfully control, utilize, analyze, and store the vast amounts of data flowing through organization’s today, an enterprise-wide approach is necessary. The Chief Data Officer (CDO) is the newest member of the executive suite in many organizations worldwide. Their task is to develop and implement the strategies needed to harness the value of an enterprise’s data, while working alongside the CEO, CIO, CTO, and other executives. They are the vital “data” bridge between business and IT.
This paper is sponsored by: Paxata and CA Technologies

This report investigates the level of Information Architecture (IA) implementation and usage at the enterprise level. The primary support for the report is an analysis of a 2013 DATAVERSITY™ survey on Data and Information Architecture.
This paper is sponsored by: HP, Vertica, Denodo, Embarcadero and CA Technologies.

As the interest in managing information and enforcing corporate data management policies increases, data governance programs to manage data sets are becoming more and more vital to the business operation. However, in this rush for data governance programs, sometimes the true utility and importance of metadata can be missed. In this white paper, David Loshin of Knowledge Integrity, Inc. discusses the importance of data governance and the role of metadata management as a way to empower data governance and enforce data policies.

Using ERwin Data Modeler & Microsoft SQL Azure to Move Data to the Cloud within the DaaS Lifecycle by Nuccio Piscopo Cloud computing is one of the major growth areas in the world of IT. This article provides an analysis of how to apply the DaaS (Database as a Service) lifecycle working with ERwin and the SQL Azure platform. It should help enterprises to obtain the benefits of DaaS and take advantage of its potential for improvement and transformation of data models in the Cloud. The use case introduced identifies key actions, requirements and practices that can support activities to help formulate a plan for successfully moving data to the Cloud.

This white paper by industry expert Alec Sharp illustrates these points and provides specific guidelines and techniques for a business-oriented approach to data modeling. Examples demonstrate how business professionals.

This 2nd paper in a 3-part series by David Loshin explores some challenges in bootstrapping a data governance program, and then considers key methods for using metadata to establish the starting point for data governance. The paper will focus on how metadata management facilitates progress along three facets of the data governance program including assessment, collaboration and operationalization.

As combinations of both internal and externally-imposed business policies imply dependencies on managed data artifacts, organizations are increasingly instituting data governance programs to implement processes for ensuring compliance with business expectations. One fundamental aspect of data governance involves practical application of business rules to data assets based on data elements and their assigned values. Yet despite the intent of harmonizing data element definitions and resolution of data semantics and valid reference values, most organizations rarely have complete visibility into the metadata associated with enterprise data assets.

Add Big Data Technologies to Get More Value from Your Stack
Taking advantage of big data starts with understanding how to optimize and augment your existing infrastructure. Relational databases have endured for a reason – they fit well with the types of data that organizations use to run their business. These types of data in business applications such as ERP, CRM, EPM, etc., are not fundamentally changing, which suggests that relational databases will continue to play a foundational role in enterprise architectures for the foreseeable future. One area where emerging technologies can complement relational database technologies is big data. With the rapidly growing volumes of data, along with the many new sources of data, organizations look for ways to relieve pressure from their existing systems. That’s where Hadoop and NoSQL come in.

The future of Master Data Management is deriving value from data relationships which reveal more data stories that become more and more important to competitive advantage as we enter into the future of data and business analytics. MDM will be about supplying consistent, meaningful views of master data and being able to unify data into one location, especially to optimize for query performance and data fit. Graph databases offer exactly that type of data/performance fit.
Use data relationships to unlock real business value in MDM:
- Graphs can easily model both hierarchical and non-hierarchical master data
- The logical model IS the physical model making it easier for business users to visualize data relationships
- Deliver insights in real-time from data relationships in your master data
- Stay ahead of the business with faster development
Download and read the white paper Your Master Data Is a Graph: Are You Ready? to learn why your master data is a graph and how graph databases like Neo4j are the best technologies for MDM.

Learn how semantic technologies make any content intelligent and turn it into revenue for your publishing business
There is a smarter, cost-effective way for publishers to create, maintain and reuse content assets with higher accuracy. It is called dynamic semantic publishing.
Putting Semantic Technologies at Work for the Publishing Industry
An efficient blend of semantic technologies, dynamic semantic publishing enables powerful experiences when it comes to publishers’ main stock of trade: processing and representing information.

As companies embrace NoSQL as the “next big thing,” they are rightly cautious of abandoning their investment in SQL. The question a responsible developer or IT manager must investigate is “in which cases are each of these technologies, SQL and NoSQL, the appropriate solution?” For example, cloud provider BigStep offered this assessment: “NoSQL is not the best model for OLTP, ad hoc queries, complicated relationships among the data, and situations when stability and reliability outweigh the importance of speed.” While that statement may be true of many NoSQL databases, c-treeACE is the exception. Its unique, No+SQL architecture offers the advantages of SQL on top of a robust, high-performance NoSQL core engine.
In this white paper, you'll read five ways c-treeACE breaks the NoSQL mold in terms of:
• Data Integrity
• Availability and Reliability
• Complex Data Relationships
• Flexible Queries
• Performance

Done correctly, data governance can transform the way an organization manages – and capitalizes on – its data. However, because it spans a variety of people, policies and technologies, data governance is a daunting effort. The SAS Data Governance Framework is designed to provide the organizational and technological structures needed to overcome common data governance failure points.

Audience segmentation is key for successful ad campaigns. Without it, a brand is flying blind – wasting spend and resources.
However, the good news is that increasingly sophisticated technology makes it possible for brands to gain a deeper understanding of their target audiences – and how to reach them. This is especially true of location intelligence-driven advertising which can give more timely and complete insights into audiences than ever before.
As one of the world’s leading location platforms in 2018, HERE Technologies shares insights and solutions to buying location data for better audience segmentation.
Find out about the challenges and questions to ask when buying location data and download the Buyers Guide for Marketers.

To out-innovate and out-pace their competition, organizations must be on a consistent path to keep their infrastructure
modern. IT is under constant pressure to deliver optimized infrastructure for new business initiatives and supporting
applications all while trying to contain or even reduce costs. In fact, respondents to ESG’s ongoing research consistently
cite cost reduction as one of the top business drivers affecting their IT spending. When asked in a research survey how
their organizations intended to contain costs in 2017, 27% of respondents said that they would be purchasing new
technologies with better ROI.
1

IT Transformation is a concept that resonates with companies even more now than it did 12 months ago. Although not synonymous with digital transformation, the two concepts are fundamentally linked together, as effective digital transformation cannot happen without IT Transformation.
A company that transforms its IT infrastructure no longer has to rely on rigid, manual, siloed, legacy technologies. It sees a boost in IT operational speed, efficiency, scale, and cost effectiveness—tasks are automated, processes streamlined, and resources are freed up. Those IT-level improvements fuel a larger-scale digital transformation, allowing the company to thrive in today’s digital economy. It is able to out-innovate, out-think, and out-pace its competitors—ultimately becoming the disruptor, not the disrupted.

Advanced image analysis and computer vision are key components of today’s AI revolution and is becoming critical for a wide range of industry applications, including healthcare, where this technology is being used to detect anomalies and improve patient care. Due to a lack of integrated tools and experience with these cutting-edge technologies, however, deploying complete systems is difficult.
Applications that utilize deep learning approaches often require large amounts of highly parallel compute power, storage, and networking capabilities, along with performance optimizations for faster data analysis. The Intel and QNAP/IEI solution combines all these elements in one complete system for scalable data management for hospitals and clinics of all sizes.
Read more on Intel’s and QNAP/IEI’s real-world use case on macular degeneration analysis through high-performance computing, vision capabilities, storage, and networking in a single solution.

How can you put the power of real-time analytics into the hands of business users? Watch this video to learn about the technologies surrounding self-service analytics and data integration, and how you can use them to lead a data-driven organization.

The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years.
As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
Watch the webinar to learn more about:
What makes up the full spectrum of mobile risks
Lookout's Mobile Risk Matrix covering the key components of risk
How to evolve beyond mobile device management

The plan is to move what you currently have onto a platform that gives you new capabilities to better support your transformation goals. Aberdeen Group has found that those who stay up to date with their ERP are, for example, almost three times as likely to have mobile ERP functionality, twice as likely to have integrated ERP and eCommerce, and five times more likely to have social business capabilities.1
Is it time for you to take the next step on your journey by moving to the Epicor ERP system? Consider these questions:
XX How much time and money could your business save by eliminating inefficient processes, increasing worker productivity, and improving customer service?
XX What goals can you achieve when your core software is integrated with Industry 4 .0 technologies to support the factory of the future?
XX What would your business look like if you had real-time information to make informed business decisions that drive growth and profitability?

It’s important for American manufacturers to stay current if they wish to remain successful? Positioning yourself for growth means looking to the future and gaining efficiencies through new technologies? That’s why this question may be the most important one for your business— are you a future-ready manufacturer?
Before you can adequately answer that question, you and the members of your organization need to know the answers to these three questions:
X Where are we today? X Where do we want to be in three to five years? X How can we embrace innovation and automation?
If decision-makers in your organization can’t answer these questions, you have bigger issues than you may realize?
At the very least, tackling these tough questions now will put you ahead of competitors who are consumed with putting out today’s fires rather than focusing on growth opportunities? Manufacturers that aren’t prepared for the coming global megatrends and don’t invest in breakthrough technologies will be rende

Transforming Cloud Connectivity & Security in Distributed Networks
Today’s digital transformation initiatives frequently begin with moving applications and data to the cloud. But traditional networking and security infrastructure, such as backhauling data from remote locations to central offices over MPLS lines, can’t keep up.
Fortunately, new approaches that also move connectivity and security to the cloud are rapidly overcoming these hurdles. Technologies such as direct-to-cloud SD-WAN and site-to-site VPNs dramatically cut the cost of connectivity. However, they put pressure on other parts of the organization to adopt new ways of defending each site against internet intruders, protecting the use of web content, and securing data stored in cloud apps.
In this webcast, we’ll discuss a new, integrated approach to connectivity and security. View the webinar today!

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